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<h1>树模型与集成学习<a class="headerlink" href="#id1" title="永久链接至标题">¶</a></h1>
<p>介绍待填</p>
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<ul>
<li class="toctree-l1"><a class="reference internal" href="01_tree.html">Part A: 决策树</a><ul>
<li class="toctree-l2"><a class="reference internal" href="01_tree.html#id1">1. 信息论基础</a></li>
<li class="toctree-l2"><a class="reference internal" href="01_tree.html#id2">2. 分类树的节点分裂</a></li>
<li class="toctree-l2"><a class="reference internal" href="01_tree.html#cart">3. CART树</a></li>
<li class="toctree-l2"><a class="reference internal" href="01_tree.html#id3">4. 决策树的剪枝</a></li>
<li class="toctree-l2"><a class="reference internal" href="01_tree.html#id4">知识回顾</a></li>
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<li class="toctree-l1"><a class="reference internal" href="02_ensemble.html">Part B: 集成模式</a><ul>
<li class="toctree-l2"><a class="reference internal" href="02_ensemble.html#id1">1. 为何集成</a></li>
<li class="toctree-l2"><a class="reference internal" href="02_ensemble.html#baggingboosting">2. bagging与boosting</a></li>
<li class="toctree-l2"><a class="reference internal" href="02_ensemble.html#stackingblending">3. stacking与blending</a></li>
<li class="toctree-l2"><a class="reference internal" href="02_ensemble.html#id2">4. 两种并行集成的树模型</a></li>
<li class="toctree-l2"><a class="reference internal" href="02_ensemble.html#id5">知识回顾</a></li>
</ul>
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<li class="toctree-l1"><a class="reference internal" href="03_ada.html">Part C: 自适应提升法</a><ul>
<li class="toctree-l2"><a class="reference internal" href="03_ada.html#adaboost">1. Adaboost概述</a></li>
<li class="toctree-l2"><a class="reference internal" href="03_ada.html#id1">2. 分类损失</a></li>
<li class="toctree-l2"><a class="reference internal" href="03_ada.html#samme">3. SAMME</a></li>
<li class="toctree-l2"><a class="reference internal" href="03_ada.html#samme-r">4. SAMME.R</a></li>
<li class="toctree-l2"><a class="reference internal" href="03_ada.html#adaboost-r2">5. Adaboost.R2</a></li>
<li class="toctree-l2"><a class="reference internal" href="03_ada.html#id2">知识回顾</a></li>
</ul>
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<li class="toctree-l1"><a class="reference internal" href="04_gbdt.html">Part D: 梯度提升树</a><ul>
<li class="toctree-l2"><a class="reference internal" href="04_gbdt.html#gbdt">1. 用于回归的GBDT</a></li>
<li class="toctree-l2"><a class="reference internal" href="04_gbdt.html#id1">2. 用于分类的GBDT</a></li>
<li class="toctree-l2"><a class="reference internal" href="04_gbdt.html#xgboost">3. XGBoost算法</a></li>
<li class="toctree-l2"><a class="reference internal" href="04_gbdt.html#lightgbm">4. LightGBM算法</a></li>
<li class="toctree-l2"><a class="reference internal" href="04_gbdt.html#id4">知识回顾</a></li>
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